基于SAS与SPSS的改进主成分分析法在邯郸市水资源承载力中的应用
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摘要
通过收集《邯郸市水资源公报》、《邯郸统计年鉴》及第二次河北省邯郸市水资源评价资料,提取10个与水资源承载力相关的指标,并对主成分分析法进行改进,利用原始数据均值化处理后的矩阵,对其进行主成分的提取。结果表明,在综合得分评价及主成分聚类评价中得出邯郸市水资源承载力基本呈现逐年回升态势;社会经济的快速发展和人口的快速增长是影响承载力的最主要因素;天然来水量不足及工业污染和农业耗水量大也是影响承载力提升的重要因素。通过编写SAS代码,对SPSS的不足部分进行补充,得到正确合理的评价结果,可在未来邯郸市的水资源承载力方面的研究上提供借鉴。
This paper collects the Handan Water Resources Bulletin,Handan Statistical Yearbook and the second evaluation of water resources in Handan City,Hebei Province,10 indicators related to water resources carrying capacity were extracted,and the principal component analysis method was improved. The matrix of the original data was used to extract the principal components. The results show that in the comprehensive score evaluation and principal component clustering evaluation,the water resources carrying capacity of Handan City is basically rising year by year; the rapid development of social economy and the rapid population growth are the most important factors affecting the carrying capacity; Insufficient and industrial pollution and large water consumption in agriculture are also important factors affecting the improvement of carrying capacity. By writing SAS code,the article supplements the shortcomings of SPSS,and obtains correct and reasonable evaluation results,which can provide reference for future research on water resources carrying capacity in Handan City.
This paper collects the Handan Water Resources Bulletin,Handan Statistical Yearbook and the second evaluation of water resources in Handan City,Hebei Province,10 indicators related to water resources carrying capacity were extracted,and the principal component analysis method was improved. The matrix of the original data was used to extract the principal components. The results show that in the comprehensive score evaluation and principal component clustering evaluation,the water resources carrying capacity of Handan City is basically rising year by year; the rapid development of social economy and the rapid population growth are the most important factors affecting the carrying capacity; Insufficient and industrial pollution and large water consumption in agriculture are also important factors affecting the improvement of carrying capacity. By writing SAS code,the article supplements the shortcomings of SPSS,and obtains correct and reasonable evaluation results,which can provide reference for future research on water resources carrying capacity in Handan City.
引文
[1]党丽娟,徐勇.水资源承载力研究进展及启示[J].水土保持研究,2015,22(3):341-348.
[2]刘晓,陈隽,范琳琳,等.水资源承载力研究进展与新方法[J].北京师范大学学报:自然科学版,2014,50(3):312-318.
[3] Wei Guanghui,Liu Feng,Ma Liang,et al. Principal Component Model and Application on Evaluation of Water Resources Carrying Capacity[C]//Information Engineering Research Institute. Advances in Biomedical Engineering———2012 International Conference on Environmental Engineering and Technology(ICEET2012).Information Engineering Research Institute,2012.
[4]贾凤.基于系统动力学模型的水资源承载能力分析[D].邯郸:河北工程大学,2018.
[5]程美家,韩美,杜剑.基于主成分分析法的山东省水资源承载力评价[J].资源开发与市场,2009,25(5):410-412.
[6]高佳.邯郸市东部平原区水资源优化配置研究[D].邯郸:河北工程大学,2009.
[7]陈娅鑫,李冲.邯郸市水资源承载力评价及预测研究[J].地下水,2010,32(2):100-101.
[8]张保成,孙林岩.国内外水资源承载力的研究综述[J].当代经济科学,2006(6):97-101,126.
[9]陈腊娇,冯利华,毛小军.主成分分析法在水资源承载力影响因子评价中的应用[J].水利科技与经济,2006(6):362-364.
[10]李高伟,韩美,刘莉,等.基于主成分分析的郑州市水资源承载力评价[J].地域研究与开发,2014,33(3):139-142.
[11]张洪军.主成分分析方法求解主成分方法的改进[J].学术问题研究,2016,12(1):95-100.
[12] Ge Hui,Huang Zhenping,Liu Kelin,et al. Flood Classification Based on Improved Principal Component Analysis and Hierarchical Cluster Analysis[J]. IAHSAISH Publication,2011(350):610-615.
[13] Wang Jidong,Wang Lipeng,Pang Xipin. Steady State Power Quality Evaluation of Grid-connected Photovoltaic System Based on Improved Principal Component Analysis Method[J]. Recent Patents on Electrical and Electronic Engineering,2013,6(3):217-223.
[14]徐雅静,汪远征.主成分分析应用方法的改进[J].数学的实践与认识,2006(6):68-75.
[15] Mehdi Mohebodini,Naser Sabaghnia,Farhad Behtash,et al. Principal Component Analysis of Some Quantitative and Qualitative Traits in Iranian Spinach Landraces[J]. Proceedings of the Latvian Academy of Sciences. Section B. Natural,Exact,and Applied Sciences.,2017,71(4):307-310.
[16] Niu Dongxiao,Tian Jie. Research on Chinese Cities Comprehensive Competitiveness Based on Principal Component Analysis and Factor Analysis in SPSS[C]//Proceedings of 2011 IEEE 2nd International Conference on Software Engineering and Service Science(ICSESS 2011). IEEE Beijing Section,IEEE China Council,Beijing University of Technology,Beijing University of Posts and Telecommunications,The Hong Kong Polytechnic University,Andhra University:IEEE BEIJING SECTION,2011.
[17] Wu Tingnien,Su Chiusheng. Application of Principal Component Analysis and Clustering to Spatial Allocation of Groundwater Contamination[J]. Proceedings-5th International Conference on Fuzzy Systems and Knowledge Discovery,FSKD 2008.
[18]何晓群.多元统计分析:第二版[M].北京:中国人民大学出版社,2008:187-190.
[2]刘晓,陈隽,范琳琳,等.水资源承载力研究进展与新方法[J].北京师范大学学报:自然科学版,2014,50(3):312-318.
[3] Wei Guanghui,Liu Feng,Ma Liang,et al. Principal Component Model and Application on Evaluation of Water Resources Carrying Capacity[C]//Information Engineering Research Institute. Advances in Biomedical Engineering———2012 International Conference on Environmental Engineering and Technology(ICEET2012).Information Engineering Research Institute,2012.
[4]贾凤.基于系统动力学模型的水资源承载能力分析[D].邯郸:河北工程大学,2018.
[5]程美家,韩美,杜剑.基于主成分分析法的山东省水资源承载力评价[J].资源开发与市场,2009,25(5):410-412.
[6]高佳.邯郸市东部平原区水资源优化配置研究[D].邯郸:河北工程大学,2009.
[7]陈娅鑫,李冲.邯郸市水资源承载力评价及预测研究[J].地下水,2010,32(2):100-101.
[8]张保成,孙林岩.国内外水资源承载力的研究综述[J].当代经济科学,2006(6):97-101,126.
[9]陈腊娇,冯利华,毛小军.主成分分析法在水资源承载力影响因子评价中的应用[J].水利科技与经济,2006(6):362-364.
[10]李高伟,韩美,刘莉,等.基于主成分分析的郑州市水资源承载力评价[J].地域研究与开发,2014,33(3):139-142.
[11]张洪军.主成分分析方法求解主成分方法的改进[J].学术问题研究,2016,12(1):95-100.
[12] Ge Hui,Huang Zhenping,Liu Kelin,et al. Flood Classification Based on Improved Principal Component Analysis and Hierarchical Cluster Analysis[J]. IAHSAISH Publication,2011(350):610-615.
[13] Wang Jidong,Wang Lipeng,Pang Xipin. Steady State Power Quality Evaluation of Grid-connected Photovoltaic System Based on Improved Principal Component Analysis Method[J]. Recent Patents on Electrical and Electronic Engineering,2013,6(3):217-223.
[14]徐雅静,汪远征.主成分分析应用方法的改进[J].数学的实践与认识,2006(6):68-75.
[15] Mehdi Mohebodini,Naser Sabaghnia,Farhad Behtash,et al. Principal Component Analysis of Some Quantitative and Qualitative Traits in Iranian Spinach Landraces[J]. Proceedings of the Latvian Academy of Sciences. Section B. Natural,Exact,and Applied Sciences.,2017,71(4):307-310.
[16] Niu Dongxiao,Tian Jie. Research on Chinese Cities Comprehensive Competitiveness Based on Principal Component Analysis and Factor Analysis in SPSS[C]//Proceedings of 2011 IEEE 2nd International Conference on Software Engineering and Service Science(ICSESS 2011). IEEE Beijing Section,IEEE China Council,Beijing University of Technology,Beijing University of Posts and Telecommunications,The Hong Kong Polytechnic University,Andhra University:IEEE BEIJING SECTION,2011.
[17] Wu Tingnien,Su Chiusheng. Application of Principal Component Analysis and Clustering to Spatial Allocation of Groundwater Contamination[J]. Proceedings-5th International Conference on Fuzzy Systems and Knowledge Discovery,FSKD 2008.
[18]何晓群.多元统计分析:第二版[M].北京:中国人民大学出版社,2008:187-190.